Individual Tree Crown Segmentation in Subtropical Broadleaf Forests Using UAV-based Ultrahigh-Resolution RGB Data-Reference-Cited by-同舟云学术

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Individual Tree Crown Segmentation in Subtropical Broadleaf Forests Using UAV-based Ultrahigh-Resolution RGB Data

Published:2024-07-07 Issue: Volume:31 Page:3097-3099
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Zhu Ruoning¹,Chai Guoqi²,Tian Xin³

Affiliation:

1. The Third Construction CO., LTD of China Construction First Group,Beijing,China,100161

2. Beijing Forestry University,College of Forestry,Beijing,China,100083

3. Institute of Forest Resource Information Techniques Chinese Academy of Forestry,Beijing,China,100091

Funder

Chinese Academy of Forestry

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642737.pdf?arnumber=10642737

Reference6 articles.

1. A novel solution for extracting individual tree crown parameters in high-density plantation considering inter-tree growth competition using terrestrial close-range scanning and photogrammetry technology

2. Estimating Individual Tree Above-Ground Biomass of Chinese Fir Plantation: Exploring the Combination of Multi-Dimensional Features from UAV Oblique Photos

3. Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data

4. Normalized cuts and image segmentation

5. Extraction of vegetation information from visible unmanned aerial vehicle images;Xiaoqin;Transactions of the Chinese Society of Agricultural Engineering,2015

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